Model ML review, pricing and verdict

AI agent for banks, funds and consultancies that builds cited decks, models and diligence; it says it has raised over $100M and HSBC rolled it out globally.

Best for
Investment banking analyst or associate
Not for
Solo investor or small fund with no data-room workflow

By , Founder and editor

Should you use Model ML?

Model ML suits banks, funds and consultancies that want one agent producing cited, template-matched deliverables across their Office tools. It has no public price and no independent reviews, so ask for a trial on your own deal materials. Its $75 million Series A closed on 24 November 2025.

One agent that works from Excel, PowerPoint, Word, Outlook, Slack and its own app and returns cited deliverables in a firm's own templates.

Licensed data partnerships and firm templates create switching costs, while the model layer is routed across providers and rivals such as Rogo and Hebbia compete for the same bankers.

Also for

  • Private equity or credit diligence team member
  • Asset-management reporting lead
Show 4 more
  • Investment bankers building pitch decks and client presentations
  • Private equity and credit analysts working through virtual data rooms
  • Asset and wealth managers producing recurring tearsheets and portfolio reports
  • Consultants preparing client-ready Word and PowerPoint deliverables

Also not for

  • Buyer who needs a public price before a sales call

Main trade-off

No public price and no independent reviews, so a buyer relies on vendor-published claims.

Model ML pricing

No public price. Its pages list no free plan or trial, and the one way in is a demo request. The security page refers to an Enterprise Plan with single sign-on, so any cost is agreed in a contract after a conversation with the company.

Before you commit

  • No price is published, so total cost is known only after a sales conversation
  • Enterprise rollouts involve a security review and SSO setup before use, per its security page

What Model ML does

Model ML sells an AI agent for financial services that builds cited decks, Excel models and diligence reviews inside Excel, PowerPoint, Word, Outlook, Slack and its own app. It routes tasks across several AI models and offers siloed storage. Pick it if your firm can run a demo-led enterprise rollout.

  • One agent across your tools

    Runs from Excel, PowerPoint, Word, Outlook, Slack, the Model ML app or email, so an assignment started in one place continues in another.

  • Workflows

    Produces decks, documents and financial models matched to a firm's templates, and can be triggered by hand, by a calendar or by an earnings release.

  • Grids

    Runs thousands of simultaneous prompts across a dataset in a reusable template and cites every source.

  • Document Review

    Scans documents for wrong numbers, inconsistent logic and bad page references and sorts the errors by severity.

Show all 8 features

  • Sites

    Publishes living web pages from chat or email, with visit analytics, an edit mode with version history and scheduled data refreshes.

  • Multi-model routing

    Picks among Claude and GPT models for each step, and its blog announces new ones as they arrive.

  • Licensed data partners

    Blog posts announce tie-ups for market data, private-capital data and company risk data with firms including LSEG, Preqin and Daloopa.

  • Siloed or private deployment

    Offers siloed storage apart from Model ML and its other customers, or deployment onto the customer's own infrastructure, with SSO and MFA.

Works with

  • Excel, PowerPoint, Word and Teams plugins
  • Outlook
  • Slack
  • Snowflake
  • MCP
  • PitchBook
  • FactSet
  • Capital IQ
  • SharePoint
  • DealCloud

Capabilities

  • Finance AI
  • AI agent
  • Document automation
  • Due diligence
  • Pitch decks
  • Enterprise SAAS

Strengths and limits

Strengths

  • OpenAI's article reports one global asset manager cutting a bespoke tearsheet from roughly 60 minutes to roughly 5, a vendor-supplied figure that names no firm.
  • The security page offers siloed storage and deployment to a customer's own infrastructure, and promises Model ML will never train its models on customer data.
  • ISO 27001, SOC 2 Type II and GDPR are listed on its site, and single sign-on through SAML or OIDC with just-in-time provisioning and MFA is documented.
  • Its Workflows page names PitchBook, FactSet and Capital IQ as sources, and its blog lists partnerships with LSEG, Preqin and Dun & Bradstreet for licensed data.
  • Because routing is multi-provider, per its 11 August 2026 release, a firm is not tied to one AI vendor.

Limits

  • No price, plan list or trial is published, so a buyer cannot compare cost before a demo.
  • Independent user feedback is missing: G2's page for Model ML shows no reviews.
  • The performance figures it publishes come from its own Composite benchmark or from an article that OpenAI co-published, not from an independent test.
  • Its customer pages cover investment banking, consulting, private equity and credit, and asset and wealth management, so solo analysts and small non-finance teams are outside its stated scope.

Model ML alternatives

The nearest AI tools on Hokai for the same job.

ToolPrice fromFree planRuns onRating
Model ML This pageQuoteNoWeb--
DatarailsExcel-friendly finance operating system with 600+ data connectors, AI agents and SOC 2 Type II, sold on three quote-only plans.QuoteNoWeb · iOS · Android3.7
PigmentAI planning platform for finance, sales and supply chain teams, with 6 named AI agents, an MCP server and a free trial.----Web3.7
CampfireAI-native ERP for growth-stage finance teams with Ember agents, a Migration Agent and an MCP server, used by Replit, Decagon and PostHog, per the vendor.QuoteNoWeb3.4

Model ML facts

Compliance
ISO 27001 · SOC 2 Type II · GDPR
Works offline
No
Minimum skill level
Basic
Price band
Enterprise pricing
Training-data policy
Model ML's security page says it will never train its models on customer data, and that data can be stored in a siloed environment isolated from Model ML and its other customers (read 12 November 2026).
Total funding
Over $100M raised to date per Model ML's 11 August 2026 release, including a $75M Series A led by FT Partners (24 November 2025) with Y Combinator, QED, 13Books, Latitude and LocalGlobe, and an investment from HSBC Asset Management (amount not stated)

Data and privacy

Proprietary

Questions about Model ML

How much does Model ML cost in 2026?

Model ML does not publish prices. On 12 November 2026 the site's only call to action was Book a demo, the security page mentioned an Enterprise Plan, and no price, plan list or trial appeared anywhere. Pricing is negotiated per customer rather than listed.

Is Model ML free to use?

No free plan or trial is listed on modelml.com. Access starts with a demo request, and the product is aimed at banks, consultancies, private equity and credit firms, and asset managers.

Does Model ML train on my data?

Its security page says customer data is never used to train its models. Storage can also be isolated from Model ML and every other customer, deployment can sit on your own infrastructure, and the site lists TLS 1.2 in transit, AES-256 at rest and SSO through SAML or OIDC with MFA.

Which AI models does Model ML use?

Several. Model ML says routing is done per task. Its blog has announced GPT-5.6 Sol, Terra and Luna, GPT-6 Astra, Claude Opus 5.5, Claude Sonnet 5.5 and Claude Fable 5.1, and OpenAI's article says the agent often routes steps to GPT-5.6 Sol.

Who are Model ML's main competitors?

Rogo, Hebbia and AlphaSense each sell to finance teams. Rogo's homepage cites 450+ finance firms, Hebbia sells products named Max and Matrix, and AlphaSense cites 8,000+ enterprises. Model ML's own pitch is one agent that works inside Excel, PowerPoint and Word.

About Model ML

Model ML is an AI agent platform for financial services led by the brothers Chaz and Arnie Englander, whom its About page calls the only two founders backed three times by Y Combinator. OpenAI's article about the company says the pair began building the software for their own family-office investing after two successful exits. Model ML says it has raised over $100 million to date, according to its 11 August 2026 release, which also announced an investment from HSBC Asset Management. The largest round it details is a $75 million Series A led by FT Partners on 24 November 2025, with Y Combinator, QED, 13Books, Latitude and LocalGlobe taking part.

Read the full background

The homepage now sells a finance agent that lives in Excel, PowerPoint, Word, Outlook, the Model ML app or a firm's own systems. Its product pages name six modules: Workflows build client-ready documents, decks and models in a firm's own templates and can run on a schedule or on an event such as an earnings release; Grids run thousands of simultaneous prompts across a dataset with every source cited; Document Review sorts errors by severity; Chat and Notetaker cover questions and meetings; and Sites publish living web pages from chat or email. The September 2026 product update, dated 6 October, added multi-agent runs, Slack, multiplayer chats and scheduled Site updates.

Model ML calls itself model-agnostic: its 11 August release says each task is routed to the model best suited to it, and its blog announces models as they arrive, including GPT-5.6 Sol on 9 July, GPT-6 Astra on 4 September, Claude Opus 5.5 on 22 September and Claude Sonnet 5.5 on 28 September. Data comes through partnerships its blog lists with LSEG, Preqin, PitchBook, Dun & Bradstreet, Daloopa, Quartr and Harmonic, and its Workflows page names FactSet, Capital IQ, SharePoint and DealCloud as sources. It also supports MCP, announced on 21 July, and has plugins for Word, Excel, PowerPoint and Teams.

Customers named on its blog include HSBC, which announced a global rollout on 14 September 2026, FT Partners, PwC and TresVista. OpenAI's article on how Model ML uses OpenAI's GPT-5.6 Sol says a bespoke tearsheet at one global asset manager fell from about an hour to about five minutes, and that agents processed virtual data rooms of more than 100,000 rows in one pass; both are vendor-supplied figures. New offices opened in Madrid on 8 October, Paris on 19 October and Dubai on 22 October 2026, and the site footer lists New York, San Francisco, London and Hong Kong.

Who should look elsewhere: anyone who wants to see a price or try the product first. The site's only call to action is Book a demo, no price is published, and G2 lists Model ML with zero reviews on 12 November 2026, so a buyer has vendor posts and one OpenAI article but no independent user feedback. Rival agents for the same job include Rogo, whose homepage says it is trusted by 450+ finance firms; Hebbia, whose site lists Max and Matrix products; and AlphaSense, which says 8,000+ enterprises use it and sells PowerPoint and Excel add-ins. Hebbia and AlphaSense have no Hokai record yet. For the wider shelf see AI financial assistants.

Sources and guides

Official sources

Product facts on this page (pricing, plans, integrations, compliance) are read from Model ML's own pages and documentation. The verdict is Hokai's reading of them, not the vendor's claim.

Hokai guides that mention Model ML

Lists that include Model ML

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